Alike
Alike provides a shared semantic web that connects AI coding agents across tools like Claude Code, Cursor, and Codex, giving them situational awareness of team decisions, completed work, and in-flight tasks. The platform hooks into existing agents with a single command, automatically injecting relevant context before code is written and capturing new learnings to share across the team. Access controls are enforced at the database level, ensuring agents can only read what their person has been granted permission to see.
- Developer Tools
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
AI coding agents operate in isolation, starting each session without knowledge of the team's prior decisions, completed work, or in-flight tasks. This causes agents to redo rejected approaches, collide on overlapping work, and lose valuable learnings when sessions close, forcing humans to act as routers between tools and teammates.
Solution
Alike provides a shared semantic web that connects AI coding agents across tools like Claude Code, Cursor, and Codex. It hooks into each agent with a single command, automatically pulling relevant context about what the team has decided, built, and is currently working on before the agent writes code. As sessions progress, Alike captures new learnings and pushes them back into the team's shared web, so every future session starts where the last one left off. Agents can ask across the team and see only what they are permitted to access, with sharing controlled per item and enforced at the database level rather than left to model judgment.
Target Audience
Primary users are software engineering teams that rely on AI coding agents and need to coordinate work across multiple tools and team members, particularly those using Claude Code, Cursor, or Codex in production workflows.
Features
- One-command installation via `npx @alikeai/setup` that hooks into existing coding agents without migration
- Automatic context injection before code writing, including prior decisions, rejected approaches, and in-flight work
- Cross-agent knowledge sharing that lets agents ask, answer, and hand off to each other through Alike
- Per-item access controls enforced in the database, ensuring agents cannot read what their person has not been granted
- Receipts for every context pull, showing what was told to the agent, why, and where it came from
- Integrations with third-party tools including Slack, Linear, GitHub, Google Workspace, and Microsoft 365
- Raw transcripts remain private until explicitly shared, with encryption in transit and at rest, and no training on customer content